Systems and Methods for Locating Power Network Failures on a Network

ABSTRACT

Systems and methods for locating a possible failure on a power network are provided. In one embodiment, a method may include determining that a possible power network failure exists based on a first group of network devices without battery back-up capabilities having an inactive status and a second groups of network devices with battery back-up capabilities having an active status on a communications network, wherein each of the network devices are adapted for receiving at least primary power from a power network; determining addresses for at least a portion of the first or the second groups of network devices; locating the addresses on a power network grid topology; and identifying at least one power network component or power network segment as a possible power network failure location based on locations of the at least a portion of the first or the second groups of network devices.

RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No.61/261,664, entitled “Correlating Customer Information, Network Topologyand Device Status Data to Identify Points of Interest and Non-SerialDevice Failures in Non-Intelligent Networks,” filed on Nov. 16, 2009,which is incorporated by reference in its entirety herein.

FIELD OF THE INVENTION

Aspects of the invention relate generally to network monitoring, andmore particularly, to systems and methods for locating power networkfailures on a power network.

BACKGROUND OF THE INVENTION

With the advent of cable television networks and other content orcommunications networks, customers have grown accustomed to receiving avariety of content and services from numerous sources. In recent years,technology advances have enabled customers to receive an even greatervariety of services through various networks. For example, modern cableservice networks provide traditional video television programming,telephone services, high-speed Internet access, electronic mailservices, video-on-demand, information services, and the like.

Unfortunately, from time-to-time, consumers of cable services experiencea loss of communications with their network service providers. Losses ofcommunications may be caused by a variety of problems. For example, asatellite downlink may be lost temporarily which causes a loss ofcommunications across a vast service area. On the other hand, a coaxialcable may be damaged at a single home or other consumer locationresulting in a loss of communications to a single consumer, or anothernetwork component, such as an amplifier, splitter, etc., may needservicing which adversely impacts downstream service and/or performance.

In order to provide quality network services and to maintain customersatisfaction, service providers must strive to restore lostcommunications as quickly and as efficiently as possible. Unfortunately,conventional systems and methods typically provide a network serviceprovider with only a rough understanding of the area of lostcommunications, but do not provide detailed insight as to the nature ofa given services outage and/or devices that are actually affected. As anexample, most cable networks are inherently non-intelligent networks,many of which are based on Hybrid Fiber Coaxial (“HFC”) networks, andare, thus, unable to provide detailed network status and/or healthinformation that would otherwise be beneficial in assessing the statusand health of the networks. Various network devices that make up thenetwork may relay the signals they receive without communicatingparticular details regarding their health or status. Accordingly,network performance issues on a communications network can be difficultto identify and local or systemic outages can be difficult to pinpoint.In some instances, service interruptions may result from a failureoutside of the communications network, but may still cause serviceissues to communications network hardware. For example, a power outagecan affect a significant portion of communications network devicesbecause they are typically powered by the power network. Therefore,identifying external failures allows rapid diagnosis of service issues,improves a communications network's quality of service, and reducesunnecessary service costs.

In many circumstances, a communications network services provider may benotified that a given node servicing 1,000 homes is experiencingservices outages without receiving any real-time information as to theparticular locations or nature of the outages. For example, a networkservices provider may only learn of network failure when notified viacalls from individual customers regarding particular services outages.Under such circumstances, service providers often roll multipletechnicians and service vehicles to respond to a given services outagewhen only a single technician and service vehicle would actually beneeded. Accordingly, a significant amount of time and resources (e.g.,customer service representatives, field service technicians, fieldservice vehicles, mileage, gas, maintenance, etc.) may be exhausted toresolve a single faulty network device or specific network location thatwas otherwise unidentifiable. In addition to the potentially massivecosts, inevitable delays in service color the customer's impression ofthe network's reliability and the network provider's responsiveness.

Therefore, a need exists for improved systems and methods for analyzingthe health of networks and identifying potential failures incommunications networks or power networks.

BRIEF DESCRIPTION OF THE INVENTION

Some or all of the above needs and/or problems may be addressed bycertain embodiments of the invention. Embodiments of the invention mayinclude systems and methods for locating a possible power networkfailure on a power network. In one embodiment a method for locating apossible failure in a power network is provided. The method may include:identifying a possible failure occurring on a power network based onactivity statuses for multiple network devices in communications with acommunications network and adapted to receive at least primary powerfrom the power network; determining location information for at least aportion of the network devices; analyzing the location information witha grid topology for the power network; and identifying one or morepotential failure locations on the power network based on the analysis.

According to another embodiment, a system for locating a possible powernetwork failure on a power network is provided. The system may includememory storing computer-executable instructions and at least oneprocessor in communication with the memory. The processor is operable toexecute the computer-executable instructions to: identify a possiblefailure occurring on a power network based on activity statuses formultiple network devices in communications with a communications networkand adapted to receive at least primary power from the power network;determine location information for at least a portion of the networkdevices; analyze the location information with a grid topology for thepower network; and identify one or more potential failure locations onthe power network based on the analysis.

According to yet another embodiment, a method for locating a possiblepower network failure on a power network is provided. The method mayinclude: determining that a possible power network failure exists basedon a first group of network devices without battery back-up capabilitieshaving an inactive status on a communications network and a secondgroups of network devices with battery back-up capabilities having anactive status on the communications network, wherein each of the firstand the second groups of network devices are adapted for receiving atleast primary power from a power network. The method may furtherinclude: determining addresses for at least a portion of the first orthe second groups of network devices; locating the addresses on a powernetwork grid topology for the power network; and identifying at leastone power network component or power network segment as a possible powernetwork failure location based on locations of the at least a portion ofthe first or the second groups of network devices.

Additional systems, methods, apparatus, features, and aspects may berealized through the techniques of various embodiments of the invention.Other embodiments and aspects of the invention are described in detailherein with reference to the description and to the drawings and areconsidered a part of the claimed invention.

BRIEF DESCRIPTION OF THE DRAWINGS

Reference will now be made to the accompanying drawings, which are notnecessarily drawn to scale, and wherein:

FIG. 1 illustrates an example system, according to an exampleembodiment.

FIG. 2 illustrates a block diagram of example network analysis modules,according to an example embodiment.

FIGS. 3A-3B are example network topology diagrams, according to exampleembodiments.

FIG. 4 is a flow diagram of an example method for analyzing networkhealth, according to an example embodiment.

FIG. 5 is a flow diagram of an example method for analyzing networkhealth correlating network device statuses with a network topology,according to an example embodiment.

FIG. 6 is a flow diagram of an example method for analyzing networkhealth comparing network device health to thresholds, according to anexample embodiment.

FIG. 7 is a flow diagram of an example method for identifying networkhealth trends, according to an example embodiment.

FIGS. 8A-8C are example network health topology diagrams and datacharts, according to example embodiments.

FIG. 9 is an example combined network health topology and geographicalmap, according to an example embodiment.

FIGS. 10A-10B are example user interfaces depicting network health,according to example embodiments.

FIG. 11 is a block diagram of an example computer, according to anexample embodiment.

FIG. 12 illustrates an example system, according to another exampleembodiment.

FIG. 13 is an example communications network topology diagram, accordingto an example embodiment.

FIGS. 14-15 are example communications network topology diagramsillustrating inactive network devices, according to example embodiments.

FIG. 16 is a flow diagram of an example method for classifying apossible power network failure, according to an example embodiment.

FIG. 17 is a flow diagram of an example method for locating a cause of apossible power network failure on a power network grid topology,according to an example embodiment.

FIG. 18 is an example power network topology diagram illustratingaffected addresses, according to an example embodiment.

DETAILED DESCRIPTION

Embodiments of the invention now will be described more fullyhereinafter with reference to the accompanying drawings, in whichembodiments of the invention are shown. This invention may, however, beembodied in many different forms and should not be construed as limitedto the embodiments set forth herein; rather, these embodiments areprovided so that this disclosure will be thorough and complete, and willfully convey the scope of the invention to those skilled in the art.Like numbers refer to like elements throughout.

Some embodiments of the invention include systems and methods foranalyzing the health of communications networks and identifying segmentswithin networks that are potentially causing interrupted or degradednetwork service. These systems and methods may be applied to any type ofnetwork, including, but not limited to, cable networks, telephonynetworks, data networks, and/or any other content or communicationsnetworks or any combination thereof (which are generally referred to as“networks” or “communications networks” herein). As discussed, theincreasing customer demand and reliance on network systems create a needfor improved network monitoring and response systems.

Conventionally, many components of a network are not “intelligent” orcannot provide detailed information regarding device statuses to anetwork provider system. Typically, network service issues areidentified when one or more customers call complaining of the service.In some instances, an outage or other service issue is not finallydetermined as existing until a certain number of customers within acertain area have reported interruptions. Thus, the only data known atthat time is where the customers are generally located and how many havecomplained of service issues. Under this approach, field servicetechnicians typically go to the area reporting outages, which cantypically be between 500 to 1,000 customers in a few-mile radius, tomanually attempt to identify the location of the network fault bytesting individual components of the network.

The disclosed systems and methods for analyzing network health describedherein, however, obtain status information for each of the many networkdevices connected to a communications network, and analyze the statusinformation for each of the network devices (or at least a subsetthereof) by comparing individual network device statuses relative tostatuses upstream and/or downstream of various network points.Understanding the statuses and/or performances of various networkdevices compared to the statuses of proximate network devices (e.g.,devices that are in direct communication with a certain network deviceor downstream or upstream from a network device, etc.) aids inidentifying an exact network segment as potentially being a cause fornetwork failure or degradation. Network segments that are identified aspotentially being faulty or calling for additional investigationaccording to the various analysis techniques described herein aregenerally referred to as a “Point of Interest” or “POI.” A number ofalgorithms or other analysis techniques are utilized to “walk thenetwork” and to identify POIs based on the statuses of proximate networkdevices. A logical topology of the network devices can be built, whichrepresents device relationships and statuses at a given time to moreefficiently, accurately, and quickly respond to network service issues.Data from a number of available systems can be utilized to build alogical representation of the network topology. The collected data andthe network topology may also represent network device statuses, andperformance levels, as well as information identifying exact addresses,details of customer premise equipment (“CPE”), and the like, to allowidentifying and precisely locating actual outages, as well asidentifying trends that may indicate anticipated outages beforecustomers report service problems. Technicians with the right tools andskills can then be deployed to the exact outage location in a highlyresponsive manner. The network health analysis can be regularly repeatedto provide frequent network monitoring and rapid identification ofpotential network service issues. These systems and methods thus providefaster time to resolution, fewer unnecessary truck rolls, and increasedcustomer satisfaction.

In addition to periodically analyzing the network health andperiodically generating a network status or health topology, embodimentsmay also provide for automatic generation and/or update of servicetickets (or other service-related actions) and deployment of techniciansresponsive to the POIs identified by analyzing the relative status alongthe network topology. Thus, generating network service events, as wellas the logging thereof, and deploying responsive service technicians canall be performed without any, or with very little, human interaction.Moreover, by correlating network status topology and customerinformation, embodiments can determine the number and type of customersimpacted by a network service issue and assign service tickets apriority based on the combined network status and customer dataaccording to predefined business rules. For example, priorities can beassigned based on the type of device malfunction, the number of impactedaddresses or other network devices, service level agreements, the typeof customer, the number or type of Revenue Generating Units (“RGUs”),and the like. Service priorities, such as, but not limited to, thosementioned can be associated with the service tickets or otherwiseincluded in the service response protocol.

Moreover, according to some embodiments, the data gathered during thenetwork status and health analysis can be stored in memory as a uniquehistorical snapshot of the system at a given time. Maintaining networkstatus and health information, including network health topologies,provides improved network service management. For example, operationspersonnel can utilize one or more user interfaces to research specificdetails about an outage or other service event (e.g., a POI), such as byviewing details of the network devices impacted or viewing potentiallyrelated nearby service issues, which may allow detecting larger orsystem-wide service interruption patterns. In addition, by storinghistorical snapshots in memory, historical conditions and/or performanceof any device in the network topology can be assessed to identify anytrends and allow predicting anticipated outages or degradations, suchas, but not limited to, service event date and time, duration and cleartimes of other recent events, whether recent outages were sporadic,intermittent, or regular, or trends in device performance issues.Historical data can also be analyzed manually and/or automatically(e.g., machine learning, statistics, mathematical analysis, artificialneural networks, decision tree learning, clustering, etc.) to identifytrends that statistically indicate a likelihood of service interruptionand/or performance degradation, and in response set business rules basedon these trends to identify potential POIs and/or create service ticketsduring future network health analysis.

In addition, some or all of the data can be gathered and presented viaone or more user interfaces. One example user interface may include anetwork status topology indicating the status and/or health of networkdevices on the topology, which may optionally be combined with (e.g.,overlaid on) a geographical representation of the network. This combinedtopology and geographical map can be utilized by service technicians toefficiently and effectively respond to potential service events, as wellas for operations personnel to better identify potential network issues.Another example user interface includes a dashboard or otheroperations-based interface that presents network status and health data,optionally at many different levels of detail and abstraction.

In some instances, service issues may initially appear to be acommunications network outage or other communications network-relatedevent, but actually result from a power network failure that is externalfrom the communications network and, thus, uncontrollable by the networkprovider system. The network provider system, however, is advantageouslypositioned to analyze different types and statuses of network devices todetermine whether a service issue results from a power network outageinstead of a communications network outage. Most network devices thatare on a communications network receive primary power from an externalpower network, such as a commercial power supply company. Certain typesof communications network devices are capable of being powered by abattery back-up. Importantly, the devices' statuses (e.g.,active/inactive or on/off, etc.) can be determined over a communicationsnetwork, whether they are powered by the power network or the batteryback-up, because the network provider system is aware of the installeddevices and can assign statuses depending upon whether it can receivesignals from the devices, whether it can deliver signals to the devices,and/or the content of data is transmitted from the devices. Being ableto determine whether a device is communicating as active or whether itis receiving its power from battery back-up will allow a networkprovider system to classify as a power network outage instead of acommunications network outage and respond accordingly.

For example, according to one embodiment, if one or more network devicesthat are only capable of being powered by a power network are reportedas being offline but at least one proximate network device that iscapable of being powered by a battery back-up is indicated as online(and powered by the battery back-up), the network provider system canconclude that the service issues likely result from a power networkfailure instead of a communications network failure. In otherembodiments, additional logic may be included to classify possible powernetwork failures, such as to analyze a number of network devices andtheir respective statuses, their locations on the communicationsnetwork, and their locations on the power network grid topology.Techniques similar to those utilized to identify a communicationsnetwork POI may be applied to classify failures a power network failure.

In addition, after classifying a possible power network failure, thelocation on the power network grid topology of one or more power networkcomponents possibly causing the failure may be identified. Thecommunications network provider system can associate network deviceswith customer addresses. Comparing the addresses of the network devicesthat appear to be suffering from a power network failure to a powernetwork grid topology allows identifying power network components ornetwork segments that may be responsible for the power network outage.Accordingly, because a communications network provider already has aninstalled base of devices that receive their primary power from a powernetwork and are capable of reporting device status independent of thepower network, a communications network is well-positioned to assesspower network failures based on device status information received overits communications network. Whereas power companies are incurringmassive expenses installing additional hardware to identify networkstatuses that may not otherwise be required (e.g., smart meters andsmart home monitoring devices), a communications network provider mayinstead utilize its existing hardware to identify power network outagesby more intelligently analyzing the device statuses and hardware types.

More details regarding the various means for implementing theembodiments of the invention are provided below with reference to FIGS.1-18.

Identifying Points of Interest in a Communications Network

An example system 100 will now be described illustratively with respectto FIG. 1. The system 100 may include one or more network providers andassociated network provider systems 102 operable to transmit orotherwise provide network-based services over one or more networks 104.A network provider system 102 may include, but is not limited to, amaster transmission facility, or head-end facility, operable to receiveand distribute content over the network 104, and/or operable to providenetwork-based services. Example network-based services that may beprovided on or by the network 104 include, but are not limited to, cabletelevision broadcasting services (or other linear programming), videoon-demand services (or other non-linear programming), Internet access,email services, advertising services, telephony services, and the like.The network provider system 102 may include, or otherwise be referred toas, a network health analysis system. As used herein, the terms “networkprovider system” and “network health analysis system” are usedinterchangeably to generally refer to a system operable to analyzecommunications network conditions according to the embodiments describedherein. It is appreciated that the term network provider system is notlimited to a network system operator or multiple system operator, butmay include any system operable to implement the embodiments describedherein.

The network 104 may be any type of communications network, such as, butnot limited to, a hybrid fiber coax network (“HFC”), a fiber opticnetwork, a coax network, a wireless network, or any combination thereof.As used herein, the term “communications network” and “network” are usedinterchangeably to generally refer to a communications network. Othertypes of networks, such as an electrical power network as discussed inmore detail herein, are expressly referenced. The network 104 shown inFIG. 1 represents a simplified version of a network having one or morenetwork devices thereon. Network devices may include, but are notlimited to, fiber optic nodes, amplifiers, splitters, couplers, taps,other nodes, and/or any number of CPE devices, which may include, butare not limited to, cable set-top boxes, cable modems, telephony modems,gateway devices, computer devices, and the like, and which may or maynot be Data Over Cable Service Interface Specification (“DOCSIS”) baseddevices. Any one of these network device types may represent a node inthe network 104 and/or an endpoint in the network 104. Moreover,according to various embodiments, any network device may be analyzed asto the status of the device, the status of various network devicesserving as endpoints in direct communication with the network device,which are referred to as “local” network devices, and/or the status ofvarious network devices serving as endpoints that are in communicationindirectly via one or more other network devices and located downstreamon the network 104, which are herein referred to as “non-local” networkdevices. More details of example network 104 configuration andterminology are provided with reference to FIGS. 3A-3B below.

Generally, the network provider system 102 may be associated with one ormore suitable processor-driven devices that facilitate the analysis ofnetwork status and health, as well as facilitating networkcommunications and/or provision of content. Example processor-drivendevices may include, but are not limited to, a server computer, amainframe computer, one or more networked computers, a desktop computer,a personal computer, an application-specific circuit, a microcontroller,a minicomputer, or any other processor-based device. The execution ofsuitable computer-implemented instructions by the network providersystem 102 may form a special purpose computer or other particularmachine that is operable to facilitate the analysis of network statusand health. Although a single network provider system 102 is describedherein, the operations and/or control of the network provider system 102may be distributed among any number of computers and/or processingcomponents. Moreover, in some instances, the operations described hereinmay be performed by multiple network provider systems 102, such as ifdifferent network providers are involved in providing, monitoring,and/or analyzing network-based services.

Details of the network provider system 102 are described with referenceto FIG. 11, illustrating a block diagram of an example computer system1100. A computer or computers 1100 associated with the network providersystem 102 thus include one or more processors 1125, one or more memorydevices 1105, one or more input/output (“I/O”) interface(s) 1140, andone or more network interface(s) 1145, all communicating over a datacommunications bus 1130. The memory device 1105 may be any suitablememory device, for example, caches, read-only memory devices, randomaccess memory devices, magnetic storage devices, removable storagedevices, etc. Additionally, any number of logical data storageconstructs may be stored as desired within the memory device 1105, whichmay be any number of suitable databases, such as the network healthdatabase 108 illustrated in FIG. 1. The memory device 1105 may furtherstore a wide variety of data 1115, such as may be useful to implementthe operations described herein. Additionally, the memory device 1105may store executable programmed logic instructions 1110 (also referredto herein as “programming logic”) and/or various program modulesutilized by the network provider system 102, for example, an operatingsystem 1120, a network health module, customer information modules,network topology modules, network device status and/or health modules,service and customer support modules, business rules, performance metricmodules, and/or visualization and display modules, such as are describedin more detail herein. The operating system 1120 may be a suitablesoftware module that controls the general operation of the networkprovider system 102, and may also facilitate the execution of otherprogrammed logic instructions 1110 by the one or more processors 1125,for example, the network health module. The operating system 1120 maybe, but is not limited to, Microsoft Windows®, Apple OSX™, Linux, Unix,or a mainframe operating system. The programmed logic 1110 may be, butis not limited to, iterative programming and/or functional programmingconstructs.

With continued reference to the example computer system 1100, the one ormore I/O interfaces 1140 may facilitate communication between thenetwork provider system 102 and one or more input/output devices, forexample, one or more user interface devices, such as, a display, keypad,mouse, pointing device, control panel, touch screen display, remotecontrol, microphone, speaker, etc., which facilitate user interactionwith the network provider system 102. The one or more network interfaces1145 may facilitate connection of the network provider system 102 to oneor more suitable networks, for example, the network(s) 104 illustratedin FIG. 1, and/or any other networks, such as, but not limited to, theInternet, wireless networks, local area networks, wide area networks,private networks, direct communication links, and the like. In thisregard, the network provider system 102 may receive and/or communicateinformation to other components of the system 100, such as any of thenetwork devices on the network 104 and/or any other computing devices,such as may be utilized by an operator 110 and/or a field servicetechnician and/or a vehicle 112, other network provider systems 102,and/or other components conventionally associated with content and/orcommunications networks. Data communicated to or from the networkprovider system 102, as described in more detail herein, may includereal-time, near real-time, and/or batch communications, and may besynchronous, asynchronous, or any combination thereof.

With reference again to FIG. 1, one or more operators 110 may beassociated with or otherwise interact with the network provider system102. Operators may utilize the network provider system 102, such as tomonitor and maintain the status of the network 104, to configure networkoperations, to respond to network service events, and the like. In oneembodiment, the network health modules 106 provide for one or more userinterfaces (e.g., a dashboard) that display the network 104 statusand/or health, and assist in identifying and/or responding to POIs. Inaddition, one or more field service technicians and/or vehicles 112 mayinteract with the network provider system 102, such as to receiveservice tickets, combined network topology and geographical maps, andassociated network status information (e.g., over a wireless network,such as a cellular network, a wide area network, a wi-fi network, etc.).It is appreciated that any number of means may be utilized tocommunicate and/or provide network status information to the operators110 and/or the field service technicians/vehicles 112.

FIG. 2 illustrates a block diagram 200 of the various programmingmodules and data sources that may be provided by a network providersystem 102, such as via the one or more network health modules 106illustrated in FIG. 1. At the bottom level of the logical diagram 200are example information and data sources 202, which can be utilized toanalyze the health of a network. Example information and data sourcesinclude, but are not limited to, customer and CPE information 202 a,network topology information 202 b, CPE and other network device statusinformation 202 c, CPE and other network device health and performanceinformation 202 d, and/or service ticket and other response information202 e. Customer and CPE information 202 a may be provided from one ormore systems, such as a system of record for maintaining customerinformation and associated network devices and/or services owned and/orsubscribed to by the customers. This data may be refreshed periodically(e.g., within minutes, hourly, 12 hours, 24 hours, etc.) such that theinformation gathered by the network provider system 102 is relativelyup-to-date. The network topology information 202 b may be provided fromone or more systems, such as a system of record for maintaining generalnetwork topology data (e.g., device type, location, and relationship ofnetwork devices on the network 104), which may also be updatedperiodically. The CPE and other network device status information 202 cmay be provided from one or more systems, such as a system of record fornetwork device status data (e.g., on/off status, active/inactive, etc.),and/or from one or more systems operable for polling or otherwiseretrieving signals from CPE devices (and/or other network devices). TheCPE and other network device health and performance information 202 dmay be provided from one or more systems, such as a system of record fornetwork device health and performance data operable to obtain orotherwise identify relative levels of network device health and/orperformance. Example network health and/or performance metrics include,but are not limited to, transmit/receive signal strength, modulationerror ratio (e.g., upstream and/or downstream metrics, etc.), voice portloss of contact events, communications line or link errors, changes inone or more metrics over time, and the like. The service ticket andother response information 202 e may be provided from one or moresystems, such as a service center or other customer or network servicesystem operable for generating, tracking, responding to, reporting, andstoring information associated with service tickets and other networkservice activities. This information may be useful to analyze whether aservice ticket has already been generated for an identified POI, whetherthe status or other relevant information has changed, or whether theservice event has been corrected. It is appreciated that theaforementioned information and data sources are provided forillustrative purposes and are not intended to limit the type and/orcontent of the data sources that may be utilized according to variousembodiments.

Next shown are the various data collection and aggregation modules 204that may be utilized by the network provider system 102 to collect andprocess the information from the information and data sources 202 foruse in analyzing the health of the network 104. For example, a networktopology module 204 a may utilize the information collected from thenetwork topology information source 202 b to build a logicalrepresentation of the network topology. In addition, the networktopology module 204 a may analyze the CPE status information 202 cand/or the CPE health and performance information to assign networkdevice statuses and/or performance conditions to the network devicesand/or other network components represented by the network topology. Asdescribed in more detail herein, the network topology module 204 a maybe utilized, at least in part, to identify one or more POIs based on thestatuses and/or health data of proximate network devices, such as bycomparing the statuses of downstream network devices to the statuses ofupstream network devices. In addition, according to one embodiment, arefresh status and health metrics module 204 b and/or a baseline and keyperformance indicator module 204 c may be provided. The refresh statusand health metrics module 204 b may generally be operable to configurerefresh rates and metrics measured, collected, and/or analyzed.Similarly, the key performance indicator module 204 c may generally beoperable to configure metrics and thresholds to be monitored, such as,but not limited to, when analyzing network device health and performancelevels against one or more predefined thresholds, calculating apercentage of equipment over or under one or more performancethresholds, one or more devices or groups of devices that change inperformance over time, and the like. It is appreciated that any of thesedata collection and aggregation modules 204 may be operable for userconfiguration or customization, such as making offline or onlineadjustments. It is further appreciated that the aforementioned datacollection and aggregation functions are provided for illustrativepurposes and are not intended to limit the type and/or function of theanalyses provided, according to various embodiments.

Also shown are two databases or other memory devices 206 that areoperable to store data utilized and/or generated by the data collectionand aggregation modules 204. For example, according to one embodiment, anetwork health database 206 a may be provided for storage and retrievalof network health snapshots, such as network health topologies generatedat certain points in time and/or other network health data collected.The network health database 206 a may further include the raw networkdevice status and health data as provided by one or more of theinformation and data sources 202, which may be extracted at any point intime to generate an updated network health topology. As another example,a key performance indicator/threshold database 206 b may be provided forstorage and retrieval of metrics and thresholds, both active and/orhistorical levels, such as may be utilized by the refresh status andhealth metrics module 204 b described above. It is appreciated that theaforementioned database examples are provided for illustrative purposesand are not intended to limit the type and/or content of data stored bythese systems according to various embodiments.

The next level represented by FIG. 2 includes filtering, alerting, andother action modules 208. These modules may generally be operable forproviding additional user and/or business customization andconfiguration, such as to implement service level business rules andservice response prioritization, which may be provided by thestatistical rules module 208 a and/or the optimization module 208 b. Inaddition, a service and ticket creation module 208 c may be operable tofacilitate the generation of service tickets associated with networkservice events and corresponding POIs identified. As described in moredetail herein, according to various embodiments, the service and ticketcreation module 208 c may allow for automatic generation anddistribution of service tickets, including the association of networkstatus and/or health information. According to one embodiment, theservice and ticket creation module 208 c is operable to automaticallyanalyze updated network health topologies as they are created accordingto various service business rules, and, when POIs are indicated and/orwhen other conditions are violated, to generate new service tickets orupdate existing service tickets based on the updated network healthtopology.

Finally, at the top level of the logical representation 200 are thevisualization and display modules 210, which may generally be operableto provide one or more user interfaces or other representations of thenetwork's health. According to one embodiment, a network health andmapping module 210 a may be included that is operable for combining thenetwork status and topology data with other network and/or geographicalmaps or other representations to simplify servicing and responding toservice events. As one example, which is explained in more detailherein, a network health topology may be overlaid or otherwise combinedwith a geographical map of the same or similar geography, which may bebeneficial to operations personnel and/or field service technicians. Inanother example, a dashboard and report module 210 b may be provided togenerate a dashboard interface and/or reporting interface or output tologically depict detailed information regarding the status and health ofa network. It is appreciated that the aforementioned user interfaces anddisplay means are provided for illustrative purposes and are notintended to limit the type and/or function of visualization and displayfunctions provided according to various embodiments.

FIG. 3A illustrates an example network topology of a network 104according to one embodiment, which is simplified for illustrativepurposes. According to one embodiment, a network topology may include ahead-end or other transmission facility 305 (e.g., the network providersystem 102), a distribution hub 310, one or more optical nodes 315, oneor more trunk amplifiers 320, one or more line amplifiers 325, and oneor more endpoints 330, which may include a single CPE or other networkdevice, or may be a grouped representation of all CPE or network devicesassociated with a single address or service (e.g., residence or businessserviced by the network provider system via the network 104). Thenetwork 104 itself may be an HFC network, a fiber optic network, a coaxnetwork, or any combination thereof, according to various embodiments.Although this network topology is illustrated with specific networkcomponents, as utilized herein, the term “network device” mayinterchangeably refer to any one of the aforementioned networkcomponents (or other network components). Similarly, the term “node” maygenerally refer to any connection point in the network that has one ormore network devices directly in communication therewith and/or with oneor more network devices in indirect communication downstream or upstreamon the network. It is appreciated that the term “node” as used hereinmay itself be a network device, such as a tap, splitter, amplifier,optical node, etc.

FIG. 3B illustrates a different network topology representation of anetwork 104. According to this representation, the network 104 mayinclude a number of nodes 350 and one or more endpoints 355. A node 350may be any connection point in the network that has one or more networkdevices directly in communication therewith and/or one or more networkdevices in indirect communication downstream or upstream on the network.An endpoint 355 may represent a single network device (e.g., a CPE) or agroup of network devices associated with a single address or service. Anetwork topology such as this allows easily identifying the parent-childrelationships between proximate nodes 350 and between nodes 350 andlocal and non-local endpoints 355. For example, as shown here, beginningfrom the most peripheral node or nodes (e.g., those that do not have anynon-local network devices associated therewith), which are the nodes 350labeled “E,” “F,” and “H”: node “E” 350 has four local endpoints 355associated therewith, node “F” 350 has one local endpoint 355, and node“H” has three local endpoints 355 associated therewith. Following thenetwork 104 up from the most peripheral nodes, tracing the networkbranch ending with node “E” 350, node “C” has four local endpoints 355associated therewith and four non-local endpoints 355 downstream, whichare the four endpoints 355 that are local node “E” 350. Accordingly, aparent-child relationship is created between nodes “C” and “E” 350, withthe parent node 350 having local endpoints 355 and non-local endpoints355 associated therewith. Continuing upstream, node “B” 350 has no localendpoints 355, but will have each of the local endpoints associated withnodes “E,” “C,” “F,” “H,” “G,” and “D” as non-local endpoints.

As further described herein, knowing the number of network devicesdirectly associated with each network device as well as the number ofnetwork devices downstream that are indirectly associated will bebeneficial in identifying any POIs on the network 104. For example, asdescribed below with reference to FIG. 5, comparing the network devicestatuses of all local and non-local network devices at one node relativeto the network device statuses for all local and/or all non-localnetwork devices at the parent node (e.g., immediately upstream on thenetwork 104), a determination can be made as to which point or where inthe network 104 is faulty or otherwise causing an outage and/orperformance degradation. As one example, comparing the on and offstatuses of network devices, if all local and non-local downstreamnetwork devices at one node are reporting as off or inactive, but atleast one local network device associated with the immediate parent node(e.g., immediately upstream) is reporting as on or active, then theportion of the network 104 between the parent node and the immediatechild node (and including either of the node network devices) may beconsidered the POI, representing the portion of the network 104 wherethe network activity status changes from inactive to active.

The representation illustrated in FIG. 3B allows considering theperformance of the network 104 performance using a tree and leavesmetaphor, whereby the backbone of the network itself comprises a treetrunk and its branches and the endpoints comprise the leaves on a tree.Thus, walking up the network is similar to finding the dead or dyingleaves on a tree and walking up the tree branch until one or more liveleaves are found. It may thus be assumed that damage or disease isimpacting the tree at a point between the live leaves and the dead ordying leaves. Similarly, on a network 104, the point between activenetwork devices and inactive devices becomes a POI where it is likelythe network 104 is experiencing failure at or near or otherwiseassociated with that portion of the network 104.

As further described herein, a POI may be identified according to anumber of different algorithms and comparisons, including, but notlimited to, the number of active or inactive network devices atproximate portions of the network 104, the number of network devicesoperating above or below one or more predefined thresholds, changes inperformance trends, and the like.

FIG. 4 illustrates a flow diagram of an example method 400 for analyzingthe status and/or health of a network, according to one embodiment, suchas may be performed at least in part by the network health modules ofthe network provider system 102 described with reference to FIGS. 1-2.

The method 400 may begin at block 405, in which the status and/or healthof each device on a network is collected. As discussed with reference toFIGS. 3A-3B, the network may include one or more nodes (or networkdevices), each of which may have one or more local network devicesassociated therewith and/or one or more non-local network devicesassociated therewith. Local network devices are those network devices indirect communication, such as the endpoints in direct communication witha node described with reference to FIG. 3B. Non-local downstream networkdevices are those network devices that are located downstream from thenode on the network, but not in direct communication, such as localnetwork devices to a child node. The status of each network device mayinclude, but is not limited to, active/inactive status, on/off status, arelative performance level, status and/or health trends relative to pastperformance, and the like. The network device statuses can be gatheredfrom any number of information and data sources, such as the informationand data sources 202 described with reference to FIG. 2.

In one example embodiment, the network device status is gathered fromeach endpoint device. The endpoint devices may represent each individualnetwork device at each address, or may be represented cumulatively as asingle status at the address. Given that different network devices maybe operable to convey different statuses and/or different levels ofstatus and/or performance information, the network provider system maybe configured to make relative determinations and “normalize” the devicestatuses gathered from different network device types. Examples ofstatus and/or health information may be, but are not limited to,transmission information, receiving information, modulation error ratios(“MER”), and the like. According to various embodiments, thisinformation may be received from, but is not limited to, cable modems,set-top boxes, telephony modems, power supplies, or any otherself-diagnostic network or CPE device. For example, cable modems,set-top boxes, and telephony modems may provide transmission, receiving,and/or MER information, while power supply devices may provide poll dataand on/off statuses.

Accordingly, following block 405 is block 410, in which the statuses ofat least a portion of the network devices are analyzed to identify oneor more POIs that may need servicing or otherwise represent networkperformance issues. According to one embodiment, the statuses of networkdevices are compared to other proximately located network devices. Forexample, in one embodiment, network device statuses located downstreamon the network are compared to network device statuses located upstream.Generally, a change in network device status occurring between twoproximate points in the network may indicate a POI to be serviced orinvestigated further. At block 410, any number of statuses may beanalyzed, according to various embodiments, such as, but not limited to,active/inactive status, on/off status, a relative performance level,status and/or health trends relative to past performance, and the like.

For example, according to one embodiment, correlating the on/off oractive/inactive status of each device with its relative location withinthe network, and comparing on/off or active/inactive statuses betweenproximately located devices, can be utilized to analyze the health ofthe network and identify POIs based on status changes. Additionaldetails of correlating on/off or active/inactive statuses with networklocations (also referred to as “correlating”) are provided withreference to FIGS. 5 and 8A-8C.

In another embodiment, the status information gathered may indicaterelative network device performance levels (also referred to herein asnetwork device “health”), which can be compared to one or morethresholds. By comparing relative performance levels to thresholds, POIswhere network degradation may be occurring can be identified beforeoutages (e.g., represented by on/off or active/inactive statuses) occur.According to various embodiments, comparing network device performancelevels to thresholds may be done independent of network location, or mayalso be correlated with the network topology to more specificallyidentify POIs based on the impact of the network and proximate networkdevices. For example, multiple network devices within a confinedgeographical area that are performing at or below one or more predefinedthresholds may indicate network service issues near or upstream of thegeographical area, and the exact location may be identified at the pointwhere performance levels meet or exceed the thresholds. In anotherembodiment, thresholds may be utilized to measure the absolute number(or percentage) of proximate network devices (e.g., local to a node,within a defined geographical area, in communication with a portion ofthe network, etc.) that are to be reported as inactive before a POI isgenerated. Additional details of comparing these devices to thresholds(also referred to as “thresholding”) are provided with reference to FIG.6.

In yet another embodiment, the status information gathered may becompared to historical status information previously gathered and storedin memory for the same network devices. Comparing current statusinformation to historical status information allows identifying one ormore trends that may indicate network service events. Moreover,identifying one or more network devices that are following previouslydetermined service event trends allows preemptively servicing orotherwise addressing the potential network service issues. Similar tothe thresholding previously described, identifying network device statusand/or health trends may also be correlated with the network topology tomore specifically identify POIs based on the changing trends of areas ofthe network and of proximate network devices. Additional details ofanalyzing network device status and/or health data (also referred to as“trending”) are provided with reference to FIG. 7.

In one embodiment, as part of analyzing the status and/or health data,whether performing correlation, thresholding, or trending, the networkprovider system may be configured to generate one or more network healthtopologies that visually indicate the relationships between networkdevices as well as the status and/or health of one or more of thenetwork devices. For example, as further described in more detail withreference to FIGS. 8A-8C, the same or similar network topology asdescribed with reference to FIG. 3A or 3B may be generated that alsoindicates the status of each network device, such as each endpoint.Accordingly, any POIs may be easily identified and/or representedvisually, as well as, or instead of, algorithmically.

The operations of blocks 405 and 410 may be repeated or refreshed atperiodic intervals (e.g., thirty seconds, five minutes, fifteen minutes,hourly, etc.) to allow frequent monitoring and identifying of networkservice events. Moreover, the analysis may be performed on a “rolling”basis, such that the system need not wait until new status or healthdata is gathered from all network devices before a network healthanalysis is performed. Instead, the network health can be analyzed atany frequency, utilizing the latest gathered data for each networkdevice, whether it has changed since the last analysis or not.Otherwise, the size of the network and number of network devices to bemonitored may begin to limit the speed and/or frequency by which networkhealth analysis can be performed.

Following block 410 is block 415, in which the network provider systemis operable to store the status data, health data, and the networkhealth topologies retrieved or generated at blocks 405-410 in one ormore memories. Storing the status, health, and/or network healthtopology data provides network health snapshots representing the networkat that given time. These historical network health snapshots can beutilized for comparison when analyzing network status trends or otherchanging network conditions. The snapshot data may also be utilized togenerate reports useful in analyzing network performance, and/or toprovide detailed information in a user interface dashboard.

Following block 415 is block 420, in which the network provider systemis operable to generate one or more service tickets or other networkservice related actions responsive to identifying the one or more POIsat block 410. Because the operations of blocks 405-410 may be performedon a frequent basis, automatically generating service tickets allowsrapidly deploying field service technicians and rectifying the networkservice issue, while also reducing the manpower required to analyze andidentify the network status and health. According to variousembodiments, service tickets may include any or all of the informationgathered or otherwise generated at blocks 405-410. For example, aservice ticket generated may include, but is not limited to, networkdevice information (e.g., status, type, performance levels, outagetime/date, etc.), address information, contact information, networklocation, network health topology, geographical map, combined networkhealth topology and geographical map, expected or associated servicelevels, and the like.

Following block 420 is block 425, in which the network health topologyrepresenting the statuses of each of the network devices on the networkis overlaid or otherwise combined or associated with a geographical maprepresenting the same or similar area, according to one embodiment.Combining a network health topology with a geographical map allows afield service technician to more efficiently respond and rectify networkservice issues. For example, in some instances, the network cabling maybe run to an address or split from a network tap in an unexpectedmanner, which could be indicated by the combined network health topologyand geographical map. It is appreciated that this combined map may alsoinclude network device status, relative performance levels, othernetwork components, other networks (e.g., power network, water, otherutilities, etc.), any of which may be useful to the field servicetechnician in responding to the network service event. Additionaldetails regarding a combined network health topology and geographicalmap are provided with reference to FIG. 9.

At block 430 a field service technician can be dispatched in response toidentifying one or more POIs at block 410. According to one embodiment,the field service technician may be dispatched automatically in responseto creating the service ticket (or in response to any other dispatchingevent) to minimize the delay and manpower required to effectivelyservice the network. Moreover, any or all of the aforementioned networkstatus information may be provided to the service technician, such asvia the service ticket, via a field service application (e.g.,wirelessly, such as over a cellular network, wi-fi network, etc.), oraccording to any other means for distributing service and network statusinformation to a field service technician.

According to one embodiment, as part of dispatching a field servicetechnician, network health information may be displayed to one or moreoperator personnel via a user interface, such as a dashboard. A userinterface may advantageously provide varied levels of detail about thenetwork and its status and performance levels associated with individualnodes, network devices, and/or addresses. Example user interfaces aredescribed in more detail with reference to FIGS. 10A-10B.

The method 400 may end after block 430, having collected and analyzednetwork device status and health information to determine the health ofthe network and to identify any POIs that may exist.

FIG. 5 illustrates a flow diagram of an example method 500 for analyzingthe status of a network utilizing on/off or active/inactive statuses(e.g., correlation), according to one embodiment, such as may beperformed at least in part by the network health modules of the networkprovider system 102 described with reference to FIGS. 1-2. According tothis embodiment, the network is analyzed to identify network devicesreported as off, and then to identify the next proximate networklocation that contains devices that are reported as on. Identifying theportion of the network where devices associated with one node arereported as off and devices associated with another node are reported ason can be used to indicate a POI on the network for repair and/oradditional analysis.

The method 500 may begin at block 505, in which the network devices andnetwork topology are defined. For example, as described in more detailwith reference to FIG. 3B, the nodes on the network with local and/ornon-local network devices are identified. Additionally, therelationships between nodes are identified to define parent-child orotherwise define nodes and/or network device dependencies. Associatingthe network devices (e.g., the endpoints) and nodes with a networktopology, such as illustrated with reference to FIG. 3B, allowslogically analyzing the network based at least in part on network deviceand/or node dependencies.

Following block 505 is block 510, in which, for each network device (orat least a portion of the network devices), the number of networkdevices that are local to that device are identified and counted. Asdescribed previously, local network devices are those network devicesthat are in direct communication with the network device in questionwithout any interceding network device. For example, as described withreference to FIG. 3B, the local endpoints 355 are identified and countedfor each of the nodes 350. It is appreciated that, in some embodiments,amplifiers, splitters, cabling, and/or other network components may bepositioned between the network device and the node, though the device isstill defined as local.

Following block 510 is block 515, in which the number of non-localdownstream network devices are identified and counted for each networkdevice. As described previously, non-local network devices are thosenetwork devices that are located downstream on the network and dependentupon the network device being analyzed, but not in direct communicationtherewith. Again, with reference to FIG. 3B, the non-local endpoints 355that are downstream for each of the nodes 350 are identified andcounted. Accordingly, after blocks 510 and 515, a network topology canbe generated that identifies the parent-child relationships of networkdevices on the network, as well as the number of endpoints (or othernetwork devices) either directly or indirectly dependent on each of thenetwork devices (e.g., dependent from each node).

Following block 515 is block 520, in which the status of each device ona network is collected. The statuses may simply indicate whether thedevice is on/off, active/inactive, or online/offline (all referred tointerchangeably herein). Accordingly, this type of status informationmay generally be utilized to identify outages, but not necessarilydegradations in performance.

Following block 520 are blocks 525 and 530, in which the number ofactive and inactive statuses, respectively, for local network devicesand the number of active and inactive statuses, respectively, fornon-local network devices are counted for each network device. Forexample, according to one embodiment, the statuses of the endpoints thatare local to each node and the statuses of endpoints that are non-localand downstream from each node are determined and counted. Thus, for eachnode, a count is provided for the number of active local network devicesand the number of inactive local network devices, as well as a count forthe number of active non-local downstream network devices and the numberof inactive non-local network devices. Traversing the network upstream,each node typically includes an increasing number of non-local networkdevices because the number of network devices that are local todownstream nodes are included in the non-local count. This property ofcumulatively including non-local network device statuses from downstreamdevices can be referred to as “rolling-up” or “roll-up” data, allowing,in some instances, an indication of network status downstream to bereflected in data (e.g., non-local data) associated with an upstreamdevice. Additional details regarding node and network devicedependencies and status counts are provided with reference to FIGS.8A-8C.

Following block 530 is block 535, in which the statuses of the local andnon-local network devices associated with one or more nodes (or othernetwork devices) are analyzed to identify any POIs on the network. Anynumber of analysis techniques and algorithms can be utilized to identifya POI on the network.

For example, according to one embodiment, the number (or percentage) ofactive local network devices versus the number (or percentage) ofinactive non-local network devices at a node can be compared to identifywhether that node has service but dependent or downstream nodes and/ordevices do not. For instance, beginning at the most peripheral node ornodes, when a node is identified that indicates all local networkdevices are inactive, the next node located upstream is reviewed todetermine whether it has any local network devices that are active. Ifthe next (or parent) node indicates that at least one network device isactive, then it can be assumed that there are no service issues with theparent node and that the POI exists at or downstream from the parentnode (e.g., between the parent and the child nodes, at the parent node,or at the child node). Otherwise, if the parent node also indicates alllocal network devices are inactive, then the next upstream node (thatnode's parent node) is similarly analyzed. This process can be continuedupstream until a point in the network is identified where the level oflocal devices inactivity changes to being active, which is thusidentified as a POI on the network calling for servicing and/orsubsequent analysis.

According to various embodiments, different types of network POIs may beidentified depending upon the relative status of proximate networkdevices. For example, two different types of POIs may include a networkPOI and a local POI. A network POI may indicate network service issuesthat are caused by network devices from which significant portions ofthe network depend. Service issues may include, but are not limited to,vandalism, installation errors, corrosion, signal ingress, signalegress, construction obstruction or damages, power outages, acts ofnature, line breakage, and the like. When determining the cause of anetwork POI, trends are analyzed. Network POIs generally affect multiplesegments (if not all segments) of the network downstream from the POIlocation on the network. A local POI may indicate network service issuesthat only affect a small segment of the network and do not necessarilyimpact downstream service issues. Generally, a local POI may be limitedto impacting devices that are local to the faulty node or other networkdevice.

According to one embodiment, a network POI may be defined as the segmentin a network where all network devices downstream are reported asinactive and at least one network device upstream is active. The networkPOI is the primary example of POI detection described herein.

According to one embodiment, a local POI may be defined as a networkdevice with all local network devices reporting as inactive and at leastone non-local downstream network device reporting as active. Thus,because there is an active network device located downstream on thenetwork, the service issue is local to that node and does not havegreater downstream impact, such as a network POI would. In someembodiments, to counter the impact of a few customers who may haveintentionally powered off a network device when no service issue exists,at least a certain number of local network devices must be associatedwith the node and be reported as inactive before the node is assessed asindicating a POI. Otherwise, a POI may be falsely identified for a nodethat only has one associated local network device that is powered offbut not experiencing service issues. This threshold number may differaccording to the network design, service goals, geography, etc. It isfurther appreciated that similar algorithms may be provided to identifynetwork POIs, and local POIs may be based on the thresholding orcorrelation analyses described with reference to FIGS. 6-7.

Therefore, these systems and methods allow specifically identifyinglarge-scale network POIs as well as smaller concentrated POIs in anefficient and effective manner. Previously, smaller, concentratednetwork failures that did not impact large portions of a network weredifficult to target with accuracy without manually testing networkdevices in the field.

In other embodiments, the analyses rules and algorithms may be based ondifferent parameters and/or numbers of performing devices, such as, butnot limited to, defining a node status by a predefined percentage of alllocal network devices reporting active or inactive (e.g., greater than50 percent, less than 100 percent, greater than 0 percent, etc.),defining a node status by a predefined number of local network devicesreporting active or inactive (e.g., greater than one, less than one,etc.), comparing the number of active local devices to the number ofinactive non-local devices, comparing the number of active or inactivelocal devices to the number of active or inactive local devices of theimmediate parent node upstream in the network, and the like.

For example, according to one embodiment, a node may be consideredinactive if one or more local network devices indicate an inactivestatus, or in another embodiment, a node may only be considered inactiveif all local devices are inactive. Similarly, in some examples, a nodemay be considered active if at least one local network device is active.

According to another embodiment, one or more device inactivitypercentage thresholds may be defined against which the number of networkdevices that are local to a node are compared to classify the status ofthat node and/or the status of the corresponding portion of the network.For example, a predefined inactivity percentage threshold may be set to50 percent, such that when more than 50 percent of the local networkdevices for a single node are reporting as inactive, the node itself maybe classified as not achieving performance standards. Whereas under amore absolute paradigm, a single local network device reporting asactive would be utilized to classify the entire node as active, under apercentage threshold analysis, the greater the number (and/orpercentage) of network devices that are inactive, the more likelynetwork service issues exist for that network node and/or proximateupstream network nodes or other devices. Comparing network statuses to athreshold may further allow identifying growing service issues that maybe particular to a specific geography, notwithstanding whether completeoutages at any of the network nodes are occurring. It is appreciatedthat the aforementioned example of a 50 percent inactivity percentagethreshold is provided for illustrative purposes only, and that any otherpercentage may be provided and/or modified depending upon the intendedpurposes and service expectations of the network.

Additional details regarding example analysis rules and algorithms foridentifying POIs based on network device activity upon being correlatedwith their relative location within the network topology are nowprovided with reference to FIGS. 8A-8C. With reference to FIG. 8A, anexample network health topology 805 is shown, such as may be generatedin response to the operations performed at block 505 of FIG. 5. Theexample network topology represents the same network topology that isillustrated in FIG. 3B, having a number of nodes 350 (nodes “A” through“H”) and a number of endpoints 355 that are local and/or non-local torespective nodes 350. However, in this representation a subset of theendpoints 355 are represented by an “X” indicating an inactive status,while the others (without an “X”) indicate an active status. Also shownin FIG. 8A is a chart 810 showing the corresponding numbers and statusesof local and non-local endpoints for each node 350, which is alsoreferred to herein as “roll-up data.” The roll-up data allowsidentifying one or more network POIs based on the statuses of local andnon-local devices in each node and with respect to proximate nodes(e.g., parent-child nodes). Moreover, the roll-up data presented in thechart 810 allows tracking or otherwise monitoring groups of networkdevices (e.g., at the node level) based on the underlying dependentdevice statuses and dependency relationships. Presenting node level datasimplifies presentation and analysis by reducing the number of datapoints to be considered.

According to one embodiment, the network provider system may beconfigured to analyze the network topology and roll-up data from the“bottom up”—beginning at the most peripheral node and working upstreamalong the network. For example, beginning at node “E” 350, the roll-updata and/or the network topology indicates that node “E” 350 is notassociated with any non-local endpoints (or other network devices),because it is the last node 350 in the network along that branch. Node“E” 350 is associated with four local endpoints 355, each of which isindicating an active status. The chart 810 thus indicates that node “E”350 has zero non-local endpoints and four local endpoints, 100 percentof which are online. Continuing upstream along the network, node “C” 350similarly has four local endpoints 355 which are indicated as beingactive. However, because node “C” 350 is a parent to node “E” 350, italso has four non-local endpoints 355 associated therewith, which arethe endpoints 355 that are local to node “E” 350. Notwithstanding,because both nodes have 100 percent active endpoints, these nodes can beconsidered active or healthy. Continuing upstream along the network,node “B” 350 introduces further complexity because it is a branch pointwith additional dependent nodes 350. Therefore, in one embodiment, thesame process is repeated beginning from each of the most peripheralnodes 350 until the common nodes 350 are reached. For example, the nextperipheral node is node “F” 350, which has one local endpoint 355. Inthis embodiment, the only endpoint 355 local to node “F” 350 isindicated as inactive. Thus, node “F” 350 is indicated in the chart 810as being 100 percent inactive or offline.

Having thus identified at least one node 350 with all inactive localendpoints 355—node “G” 350—the network is traversed upstream to identifythe next node 350 that indicates at least one active local endpoint 355,which may be indicative of a POI. In this example, node “D” 350 is thenext node that indicates active local endpoints 355. In someembodiments, one or more active non-local endpoints 355 at a parent node350 (or other upstream node 350) may also be indicative of an activenode 350 (e.g., at least some service provided to one or more endpointsdependent upon that node 350), and thus that the POI is at a point onthe network downstream from the active node 350. Accordingly, in thisexample embodiment, because node “D” 350 is associated with two activelocal endpoints 355, and because node “G” 350 is below node “D” 350 andnode “G” 350 has no active endpoints, it may be determined that thefirst POI is at node “G” 350. In this example, node “H” is not a POIbecause node “G” 350, which is upstream from node “H” 350, also has noactive local endpoints. Node “G” 350 is the POI because of the detectionof active endpoints at node “D” 350 immediately upstream. In addition,according to some embodiments, the number of endpoints (active and/orinactive) may limit the ability to conclude that a POI exists. In thisexample, because node “F” 350 and node “B” 350 do not have a sufficientnumber of endpoints, a POI determination cannot be made for them. It isappreciated that the sensitivity and number of active/inactive and/orlocal/non-local endpoints required before the data can be utilized mayvary from implementation as desired, and these examples are not to belimiting.

The same or similar analysis is performed beginning at the otherperipheral node “H” 350. In this example, nodes “G” and “H” 350 bothhave 100 percent of their local endpoints 355 reporting an inactivestate. Continuing upstream along the network, node “D” 350 has twoendpoints 355, both of which are active, and five non-local endpoints355 (the local endpoints 355 of nodes “G” and “H” 350), all of which areinactive. Accordingly, beginning with node “H” 350, the same POI isidentified as existing at a point in the network downstream from node“D” 350, such as between node “D” 350 and node “G” 350, or at node “G”350.

Accordingly, by applying the bottom-up approach illustrated in thisexample embodiment, the change in node activity status can beefficiently identified utilizing the data represented in the chart 810and/or the data depicted by the network health topology 805. Thetransition from inactive node “G” to active node “D” allows quickidentification of network POIs. Moreover, these POIs are intelligentlydetermined and provide field service technicians and other operationspersonnel with a more specific assessment of the location and/or thedevice or devices to investigate to resolve network service issues.

FIGS. 8B-8C illustrate another example network health topology 850 andtwo charts 855, 860 providing network health assessments andcorresponding roll-up data, respectively. According to this embodiment,each network node 350 that has all local endpoints 355 associatedtherewith reporting an inactive status, and all non-local endpoints 355associated therewith reporting an inactive status, are captured in thechart 855 as potentially inactive nodes (or indicating, or otherwiseincluded in, an outage), and are a beginning point from which to assessstatuses of parent nodes 350 to identify POIs. In this example topology850, nodes “D,” “H,” “I,” “J,” “K,” and “F” 350 are potentiallyinactive, as shown in the chart 855. Thus, according to one embodiment,any one of these nodes 350 may be a POI. However, in some embodiments,further analysis is performed such that the network is analyzed at oneor more nodes 350 upstream of the inactive nodes until a node isidentified that either has active local endpoints 355 associatedtherewith or active non-local endpoints 355 associated therewith. Likethe previously described embodiment, the portion of the network at ordownstream from the point of transition between entirely inactiveendpoints and at least one active endpoint can be identified as a POI onthe network. The chart 860 illustrated by FIG. 8C indicates the countand status of local and non-local endpoints 355 for each node 350 asroll-up data, which can be utilized in a similar manner as describedwith reference to FIG. 8A.

Returning back to FIG. 5, the method 500 may end after collecting andanalyzing the status nodes on the network and the corresponding localand non-local endpoints to determine one or more POIs. It is appreciatedthat, according to various embodiments, the operations method 500 may berepeated periodically to allow frequent monitoring and rapididentification of potential network service events.

FIG. 6 illustrates a flow diagram of another example method 600 foranalyzing the status of a network by comparing network deviceperformance levels to one or more thresholds, according to oneembodiment, such as may be performed at least in part by the networkhealth modules of the network provider system 102 described withreference to FIGS. 1-2. According to this embodiment, network devicedata is collected that indicates the relative performance levels, whichallows identifying potential or anticipated network outages or servicedegradation prior to the actual occurrence of an outage or other serviceinterruption identifiable by customers.

The method 600 may begin with blocks 605-615, in which the networkdevices and network topology are defined, including identifyingparent-child relationships and counting devices that are local andnon-local to other network devices, similar to that described withreference to block 505 of FIG. 5.

Following block 615 is block 620, in which the health or performance ofeach device on a network is collected. The health or performanceindicators may include, but are not limited to, transmit/receive signalstrength, modulation error ratio (e.g., upstream and/or downstreammetrics, etc.), voice port loss of contact events, communications lineor link errors, changes in one or more metrics over time, and the like.It is appreciated that the type of performance indicator may vary bydevice type being monitored, and thus is not limited to theaforementioned examples. Accordingly, by monitoring these types ofperformance levels, the health information may be utilized to identifydegradations in performance that may not otherwise be identified untilafter an outage occurs.

Following block 620 is block 625, in which one or more of theperformance indicators collected at block 620 are compared tocorresponding predefined thresholds. According to various embodiments,some or all of the threshold values may be configurable such that theymay be modified depending upon the desired network conditions. Forexample, the thresholds may vary per customer, per geography, peraccount type, and/or other characteristics, allowing different levels ofservice to be provided to different endpoints on the network. As oneexample, some endpoints may be assigned a lower threshold than others,such as if they are of certain preferred account types or have criticaloperations that depend upon network connectivity and service, or ifthere are known network conditions with which poorer performance isexpected.

In some embodiments, each endpoint, node, and/or other network device isassociated with one or more relative health conditions (e.g.,percentage, high/medium/low, transmission rate, data loss, etc.), whichmay be displayed on a network health topology, such as those describedwith reference to FIGS. 8A-8C, and/or with roll-up data or other datapresentations.

Following block 625 is block 630, in which the network provider systemcompares the relative performance of proximate network devices toidentify one or more POIs on the network. Like the correlationtechniques described with reference to FIG. 5, the relative performanceof each network device and/or corresponding node can be compared tonetwork devices upstream and downstream on the network. By identifyingone or more network devices local to a given node that do not satisfythe corresponding predefined threshold(s), network degradation orgrowing service issues may be identified early without waiting untilcomplete outages occur.

According to another embodiment of thresholding, techniques similar tothose described with reference to FIG. 6 may be provided. For example,instead of comparing relative performance indicators of each networkdevice to corresponding predefined thresholds, the number of networkdevices that are reporting off, inactive, or offline may be compared topredefined inactivity thresholds. In one embodiment, for each node, thenumber (or percentage) of inactive local network devices are compared toa threshold number (or percentage), which when violated indicates thatthe node or region is experiencing (or will soon experience) servicedegradation, outages, or other service events. The charts 810, 866 ofFIGS. 8A and 8C are useful in capturing and/or representing theinactivity (labeled as “offline”) percentages at each node, indicatingboth local inactivity percentages and non-local inactivity percentages.The greater the number (and/or percentage) of network devices that areinactive, the more likely network service issues exist for that networknode and/or proximate upstream network nodes or other devices.Therefore, utilizing inactivity thresholds can also be helpful inidentifying increasing numbers of individual devices that areexperiencing service issues.

Thresholds may vary according to the type of device from whichperformance indicators are collected, the type of network, theinformation defined by the performance indicators, and the type or typesof network events to be identified. The following table lists examplethresholds and/or conditions that may be defined to indicate one or morenetwork status events:

POI type Thresholds/conditions Local POI: Device has at least a presetnumber of monitored customers/devices; all local devices are inactive;parent device has one or more active local devices. Network POI: Devicehas at least a preset number of non-local monitored customers/devicesthat are inactive OR at least a preset number of local customers thatare inactive; no local and non-local devices are active; parent devicehas one or more active local devices OR is an optical node. Voice portloss of Optical node has at least a preset number of VPLOC contact(“VPLOC”) statuses; parent device has at least a preset number of POI:VPLOC statuses; optical node and parent node have the same number ofnon-local VPLOC statuses; the number of non-local devices with VPLOCstatuses is less than the number of non-local devices with VPLOCstatuses of the parent; device has at least a preset number of VPLOCstatuses; parent device has at least a preset number of VPLOC statuses.Trending POI: Device is an amplifier or an optical node (or other devicetype in other embodiments); at least a preset number of devices aremonitored; at least a preset number of homes do not satisfy one or morethresholds or other statuses; at least a preset percentage or ratio ofdevices downstream from the monitored device do not satisfy one or morethresholds or other statuses.It is appreciated that the above thresholds and/or conditions areprovided for illustrative purposes and are not intended to be limiting.

Another example of thresholds may include transmission and receivingthresholds and/or MER thresholds. For example, upper and lowerthresholds may be set for transmission rates, for receiving rates,and/or for MER ratios. The corresponding statuses of each of theindividual monitored devices and/or groups of devices can be compared tothese upper and lower thresholds if that information is available forthe device type. In addition, according to one embodiment, a POI may benot be considered to have occurred until a predefined number (orpercentage) of individual devices violate the threshold or thresholds.For example, in one embodiment, at least fifty percent of groupeddevices (e.g., local, non-local, etc.) are to violate a threshold beforea POI is indicated.

The method 600 may end after block 630, having compared network devicestatus and/or performance to one or more predefined thresholds toidentify one or more POIs and/or network areas with possible networkservice issues. As discussed, thresholding may be utilized to compareindividual network device performance levels or to compare total numbersor percentages of inactive devices to inactivity thresholds.

FIG. 7 illustrates a flow diagram of another example method 700 foranalyzing the status of a network by comparing network device statusand/or performance levels to historical data to analyze network healthtrends, according to one embodiment, such as may be performed at leastin part by the network health modules of the network provider system 102described with reference to FIGS. 1-2. According to this embodiment,network device data that is periodically collected and stored isutilized for comparing subsequent network device data to identifynetwork and/or network device trends. Analyzing device trends providespreemptive identification, and optionally preemptive servicing, ofnetwork devices prior to device failure or significant degradation.

The method 700 may begin with blocks 705-715, in which the networkdevices and network topology are defined, including identifyingparent-child relationships and counting devices that are local andnon-local to other network devices, similar to that described withreference to block 505 of FIG. 5.

Following block 715 is block 720, in which the current status and/orhealth of each network device is collected, such as is described withreference to the methods 500, 600 illustrated by FIGS. 5 and 6.Following block 720 is block 725, in which the status and/or health ofthe network devices are compared to historical status and/or health datafor the same network devices. Historical status and/or health data maybe stored in memory as network health topology snapshots and/or thecorresponding data from which the network health topologies aregenerated. Accordingly, at block 725, the comparisons of current data tocorresponding historical conditions and/or performance are made toidentify any trends and allow predicting anticipated outages ordegradations, such as, but not limited to, service event date and time,duration and clear times of other recent events, whether recent outageswere sporadic, intermittent, or regular, or trends in device performanceissues.

According to various embodiments, the intervals of data to which thecurrent statuses are compared can be varied. For example, increasing thenumber of intervals generates more data points for analysis, but mayalso increase the inclusion of outlier conditions in the data set.Anomalies or outliers may be omitted by tracking the number of times astatus changes, or by tracking the variance in the performance levelchanges. In other embodiments, mathematical operations, such assmoothing, averaging, analyzing the standard deviation, and the like maybe performed when analyzing network health trends.

In addition, the stored historical data can also be analyzed to firstidentify the trends that statistically indicate a likelihood of serviceinterruption and/or performance degradation, and in response setbusiness and/or other rules based on these trends to identify potentialPOIs and/or create service tickets.

Like the correlation and thresholding analysis techniques described withreference to FIGS. 5-6, network trend identification can also includethe utilization of network health topologies and/or roll-up datarepresenting local and non-local network device statuses at differentareas of the network. Comparing the behavior of proximate networkdevices to historical behavior of the same proximate devices cansimilarly be utilized to more specifically target POIs on the network.

Accordingly, the method 700 may end after block 720, having comparedcurrent network device status and/or health data to historical networkhealth data to identify trends beneficial in predicting networkdegradation or service issues prior to outages or serious eventsactually occurring.

FIG. 9 illustrates an example combined network health topology andgeographical map 900, according to one embodiment, such as may begenerated by the network health modules of the network provider system102 described with reference to FIGS. 1-2. As shown, a network healthtopology may be generated to represent an approximate layout of thenetwork, and may include the individual network devices (e.g., nodes,endpoints, amplifiers, equalizers, splitters, power inserters, couplers,etc.). For one or more of the network devices, a representative statusand/or health indication may also be shown. For example, the statuses(e.g., on/off, active/inactive, online/offline, etc.) collected at block520 of FIG. 5, and/or the relative performance indicators collected atblock 605 of FIG. 6, may be displayed by the network health topology.Similarly, indications of status and/or health trends may be displayed,such as are determined at block 725 of FIG. 7. In addition, any POIsthat have been identified may be displayed on the map 900. POIs may beidentified by identifying general areas or segments of the networkand/or by identifying specific network devices.

The foundation of the network topology, such as the layout of thenetwork and network device type and location, may initially be generatedby the network provider's system of records, such as its networkengineering maps and other network device/CPE information and datasources. The geographical map component may likewise represent the sameor a similar area's geography, or a portion thereof, and may include,but not be limited to, streets, highways, residential houses, commercialbuildings, trees, waterways, parking lots, train tracks, or otherobstacles. The geographical map data can be taken from any availablemapping service, such as, but not limited to, any geographic informationsystem (“GIS”), any commercially available mapping system (e.g.,web-based mapping systems, such as Google™ Maps, Google™ Earth, etc.),and the like.

Accordingly, a combined network health topology and geographical map canbe useful to more effectively and quickly respond to network serviceevents. By comparing the POIs and the actual network layout with thegeographical layout, driving directions and network device access can berepresented effectively. For example, unexpected network connections mayhave been made, such as through a backyard or from another branch of thenetwork, which may not be apparent without overlaying the networktopology with the geographical map.

It is further appreciated that, according to other embodiments,additional topologies may be provided with the network health topologyand overlaid on a geographical map. For example, utilities topologies,such as power, gas, water, sewer, phone, etc., may be obtained from therespective utility service provider and overlaid with the geographicalmap. Providing additional utility information may be useful to fieldservice technicians to avoid damaging or otherwise interfering withanother utility service. In addition, correlating (e.g., visuallydisplaying) additional utility information with the network healthtopology may provide independent information useful in diagnosingnetwork service interruptions or degradations. For example, if a certaingrouping of network devices is reported as inactive, but both downstreamand upstream devices are active, a failure with an external dependency,such as a power failure, may be the cause for the network devicefailures.

It is appreciated that the aforementioned information and uses of acombined network health topology (and optionally other topologies) andgeographical map are provided for illustrative purposes, and are notintended to limit the uses and types of information included in combinedmaps.

FIGS. 10A-10B illustrate example user interfaces 1005, 1050 fordisplaying network health statuses and information associated withnetwork devices, according to various embodiments. These or similar userinterfaces 1005, 1050 may be utilized by operations personnel, such aswhen analyzing or monitoring network health, manually generating servicetickets, or otherwise facilitating network service. In addition, theseor similar user interfaces 1005, 1050 can be accessed and utilized byfield service technicians to facilitate responding to service ticketsand performing field service.

With reference to FIG. 10A, according to one embodiment, the userinterface 1005 may be configured to display active POI information 1010,network device details 1015 associated with each of the POIs displayedby the POI information 1010, revenue generating units impacted 1020(e.g., the number of devices associated with unique services subscribedto by the customers), numbers and details of impacted local andnon-local devices 1025 (or addresses) from each of the POIs displayed bythe POI information 1010, and additional information links 1030.

The POI information 1010 may include, but is not limited to, deviceidentifiers, a date/time stamp associated with the last analysis (e.g.,when the last network health topology was generated or the most recentdata polling, etc.), device type (e.g., CPE, amplifier, splitter, tap,etc.), parent device identifiers, parent device types, system nodeidentifiers, POI levels of severity (e.g., high/low/medium, critical,non-critical, 0-10, etc.), numbers of impacted devices or addresses,local active and inactive counts and percentages, and non-local activeand inactive percentages. It is appreciated that, according to otherembodiments, different POI information may also be displayed in additionto, or instead of, those provided by example herein. For example,according to another embodiment, relative performance levels for eachindividual impacted device may be displayed, such as transmit/receivesignal strength, modulation error ratio, voice port loss of contactevents, etc., which will differ depending upon the network device type.

In addition, according to one embodiment, a filter or selection control1035 may be included that allows filtering or otherwise controlling thetypes and/or numbers of POIs and associated information displayed. Forexample, a user may select the type of POIs, the type of service events,time/date ranges associated with the service events, priority levels,types of customers, geographies, and the like as filter or selectioncriteria, which can limit the POIs and corresponding information tothose POIs associated with the filter or selection criteria. Filteringcan be useful to limit an otherwise large number of POIs, to identifyPOIs caused by specific events, or to identify POIs associated withcertain segments, geographies, etc.

With reference to FIG. 10B, a second user interface 1050 is illustrated,according to one embodiment. This user interface 1050 may be displayedwith, an extension to, or otherwise associated with, the first userinterface 1005 of FIG. 10A. This user interface 1050 may further displayadditional information associated with one or more POIs, such as a POIindicated in the POI information of the user interface 1005 of FIG. 10A.According to one embodiment, the user interface 1050 may be configuredto display nearby address information 1055, upstream network deviceinformation 1060, and network device status information 1065 for eachaddress associated with the designated POI. Nearby address information1055 may be useful to facilitate coordinating field service calls or toidentify other causes for service interruption or degradation (e.g.,other infrastructure failure, such as power failure, etc.). The networkdevice status information 1065 can display unique address identifiers,upstream nodes or network connection information, addresses, servicetypes, number and types of devices/services provided to the customer ateach address, overall status for each address (e.g., on/off, etc.), andrelative network device performance levels, such as, but not limited to,reception rates, transmission rates, meter levels, and the like. I isappreciated that, according to other embodiments, different networkdevice and/or address information may also be displayed in addition to,or instead of, those provided by example herein.

Accordingly, the previously described embodiments facilitate theidentification of potential network service issues by using algorithmsto analyze the network and associated network device status, toautomatically generate a logical network health topology, and tocorrelate the network health topology with detailed network deviceinformation, customer information, and geographical information,providing a comprehensive view of the network status and detailedinformation regarding any POIs identifying a potential failure in thenetwork. Using a network health topology and correlated data, actual andanticipated outages can be quickly isolated, precisely located, andticketed for repair without human intervention, and in some instancesbefore customers report service interruptions. These embodimentstherefore allow for proactive attention to potential outages, fasterresolution when outages occur, fewer unnecessary truck rolls andassociated costs, improved network performance, and increased customersatisfaction.

Classifying and Locating Potential Power Outages

As briefly described above, in some instances, service issues that mayinitially appear to be a communications network outage or other failuremay instead result from a power network failure. According to variousembodiments of the systems and methods described herein, acommunications network provider system can analyze activity statuses fordifferent device types to classify a service issue as a possible powernetwork outage instead of a communications network outage. The followingFIGS. 12-18 illustrate example embodiments in more detail.

FIG. 12 illustrates an example system 1200 for analyzing a possiblepower network failure according to communications network devicestatuses communicated over a communications network. The system 1200 issimilar to the system 100 illustrated in and described with reference toFIG. 1, and may include one or more network providers and associatednetwork provider systems 102 operable to transmit or otherwise providenetwork-based services over one or more networks 104, both of which aredescribed in more detail with reference to FIG. 1. In addition, thesystem 1200 may include a power company 1202 operable to supplyelectrical power over one or more power networks 1204 (also referred toherein as a “power grid”). The power company 1202 may generate orotherwise supply power according to any available means, the specificdetails of which are immaterial to this disclosure. Likewise, the powernetworks 1204 may be any type of power network and be configured in anynumber of ways. The power network 1204 topology may differ from thetopology of the communications network 104 topology. Thus,communications network device dependencies may not necessarily translateto the same device dependencies on the power network 1204. Accordingly,mapping a communications network 104 customer address to a location inthe power network 1204 topology can allow detecting power network 1204failures based on communications network 104 device statuses.

FIG. 13 represents an example network topology 1300 of a communicationsnetwork, similar to the network illustrated in and described withreference to FIG. 3B. According to this representation, thecommunications network may include a number of nodes 350 and one or morecustomer endpoints 355. According to this example embodiment, eachendpoint 355 represents one or more network devices (e.g., CPEs, etc.)associated with a single address or service. At least a portion of thedevices are network devices powered by a power network (not shown)without battery back-up capabilities. In addition, a portion of thenetwork devices may receive their power from the power network but dohave battery back-up capabilities that can be powered independent of thepower network, such as when the power network is experiencing an outageor other failure. In the network topology 1300 shown, devices withoutbattery back-up 1302 are represented by a triangle, and devices withbattery back-up 1304 are represented by a circle. Example networkdevices without battery back-up 1302 may include, but are not limitedto, a data modem, a set-top box, a television with a built-in receiveror a data modem, a computer, a media gateway, and the like. Examplenetwork devices with battery back-up 1304 may include, but are notlimited to, a voice over Internet Protocol (“VoIP”) modem, a multimediaterminal adapter (“MTA”), an embedded multimedia terminal adapter(“E-MTA”), and the like. Although specific network devices and CPE arereferenced by example herein, these illustrative devices are notintended to be limiting and various embodiments may similarly be adaptedfor use with any other network device or CPE.

A network topology such as that illustrated in FIG. 13 can be analyzedby a network provider system in a similar manner as is described withreference to the prior embodiments for identifying a potential POI, suchas at FIGS. 8A-8C. When analyzing the network topology to classify a POIas a potential power failure, however, the types of network devices thatare reporting their status information and additional details about howthe network devices are powered are also analyzed. For example, if oneor more of the network devices without battery back-up 1302 associatedwith the endpoints 355 off of nodes “D,” “G,” or “H” 350 are reported asoffline, but at least one of the network devices with battery back-up1304 associated with the same endpoints are reported as active andonline, a POI may be identified, but it may then be concluded that thecommunications network is healthy and that a possible power networkfailure exists and classified accordingly. Otherwise, a communicationsnetwork failure would prevent any of the devices 1302, 1304 from beingreported as online, not just those without battery back-up capabilities1302.

According to some embodiments, the network topology 1300 is analyzed bythe network provider system to detect upstream and downstreamrelationships between network devices indicated as active and inactive.By analyzing the upstream and downstream relationships of networkdevices indicated as active and inactive, an intelligent conclusion canbe achieved regarding the status of the communications network and thestatus of the power network. For example, by analyzing the networktopology 1300 in a bottom-up approach, similar to that described withreference to FIGS. 8A-8C, the network provider system can identify thesegment within the network where service issues begin and, thus, moreintelligently identify the location of a potential power networkfailure. Although a power network topology may not match acommunications network topology, analyzing the communications networktopology may at least be useful to identify groupings of proximatecustomer endpoints suffering service issues. If these issues areclassified as potential power network failures, then at least a portionof those endpoint addresses can be mapped to a power network topologygrid to identify the components or portions of the power network thatmay be the cause for the power network failure.

FIG. 14 illustrates an example communications network topology, likethat illustrated in FIG. 13, but including “X” marks indicating whichnetwork devices are reporting inactive or offline in an illustrativeexample. In one embodiment, a network provider system may begin toanalyze the most peripheral node or node 355 and the associated networkdevice statuses. If devices without battery back-up 1302 are reportinginactive and the devices with battery back-up 1304 are reporting active,then the network provider system continues to analyze the networkupstream until devices without battery back-up 1302 are reportingactive. In this manner, the network provider system can identify aportion of the network where a potential power network failure mayexist. According to this example, each of the network devices withoutbattery back-up 1302 associated at customer endpoints 355 for nodes “G”and “H” 350 are reporting as inactive, and all devices with batteryback-up 1304 are reporting as active or online. However, at node “D”350, all network devices without and with battery back-up 1302, 1304 arereporting as active. Accordingly, because, along the same network, atleast one device downstream from node “D” 350 is able to report itsstatus as active, it may be concluded that any service issues resultfrom the power network and not from the communications network, and thusthe service issue (e.g., a POI as described earlier) can be classifiedas a power network failure.

Moreover, obtaining and mapping or otherwise comparing the addresses forall or a portion of the endpoints 355 associated with nodes “G” and “H”350 to a power network grid topology will allow the network providersystem to locate and identify one or more components or segments of thepower network that may be causing the failure. Similar to identifyingthe POI in a communications network described above, the power networkgrid topology can be analyzed, beginning with the peripheral addressesand working upstream along the power network to locate and identify apower network component or portion of the power network on which all (ormost, a portion, etc.) of the customer endpoints depend. The upstreampower network component or segment can thus be identified as being thepotential cause for the failure within the power network. As discussed,because the communications network and the power network topologies maynot exactly align, what may be upstream in the communications networkmay not necessarily be upstream in the power network. For example, withcontinued reference to FIG. 14, it may be that on the power network thecustomers associated with node “H” 350 are upstream of the customersassociated with node “G” 350. However, the network provider system canintelligently navigate the power network because it will have access toa power network grid topology and corresponding data, such as addresses,installed equipment, device dependencies, and the like.

It is appreciated that the example shown and described with reference toFIG. 14 is provided for illustrative purposes only. In otherembodiments, different logic may be applied to analyze whether a powernetwork failure may exist. For example, although FIG. 14 shows alldownstream devices with battery back-up 1304 online, in other examples,the network provider system logic may not require that all devices withbattery back-up 1304 be active, but instead may require that at leastone, at least or greater than a predetermined threshold, at least orgreater than a predetermined percentage, etc. Similarly, the logic maynot necessarily require that all devices without battery back-up 1302 beinactive. For example, in other embodiments, at least a predeterminedpercentage are to be inactive, fewer than a predetermined threshold canbe active, etc. The existence of some network devices without batteryback-up 1302 but still reporting online, even during a power networkfailure, may exist in a variety of circumstances, such as at locationswith generator back-up power or locations that are powered by adifferent and unanticipated portion of the power network, etc.Accordingly, in some embodiments, programming logic may be executed bythe network provider system that considers one or more of the followingwhen analyzing potential power network failures: a predeterminedthreshold of network devices without battery back-up 1302 reporting; apredetermined threshold of network devices with battery back-up 1304reporting; a predetermined threshold of network devices without batteryback-up 1302 reporting inactive; less than a predetermined threshold ofnetwork devices without battery back-up 1302 reporting active; apredetermined percentage of network devices without battery back-up 1302reporting inactive; less than a predetermined percentage of networkdevices without battery back-up 1302 reporting active; at least onenetwork device with battery back-up 1304 reporting active; apredetermined threshold of network devices with battery back-up 1304reporting active; less than a predetermined threshold of network deviceswith battery back-up 1304 reporting inactive; a predetermined percentageof network devices with battery back-up 1304 reporting active; less thana predetermined percentage of network devices with battery back-up 1304reporting inactive; the proximity of network devices; the number andtype of network devices 1302, 1304 upstream reporting active andinactive; the number and type of network devices 1302, 1304 downstreamreporting active and inactive; network device status and/or trendingdata representing conditions over time; whether other device statuses orcollected data may indicate a communications network failure (e.g., aVPLOC or other device failure that may be primarily powered by thecommunications network, etc.); whether other device statuses orcollected data may indicate a power network failure; network statusinformation obtained from a power supplier; network status informationobtained from a field service technician; or network status informationobtained from a customer.

FIG. 15 illustrates another example communications network topology,similar to that illustrated in FIG. 14 with “X” marks indicating whichnetwork devices are reporting inactive or offline in an illustrativeexample. In this example, all but one of the network devices withoutbattery back-up 1302 that are associated with nodes “H,” “G,” “D” 350indicate inactive statuses, and all of the network devices with batteryback-up 1304 associated with the same nodes “H,” “G,” “D” 350 arereporting active statuses. As previously discussed, the one networkdevice without battery back-up 1302 that is reporting active may be theresult of a power generator back-up at that customer location or thatlocation receiving power from a different segment of the power networkthat may still be in service.

In one embodiment, the network provider system may analyze these statusresults and determine that more than a predetermined threshold (orpercentage) of inactive devices without battery back-up 1302 areindicated as inactive and, thus, continue to process this scenario as apotential power network failure. In doing so, the one network devicewithout battery back-up 1302 reporting as active is considered anoutlier. Essentially, because enough devices are consistently indicatinga possible power network failure, the network provider system may treatit as such.

In another embodiment, the network provider system may conclude that twopotential power network failures exist, whereby the one network devicewithout battery back-up 1302 that is active drives the conclusion thatthe two are potentially independent events. For example, the networkprovider system may conclude that the grouping of customer endpoints 355associated with nodes “H” and “G” 350 are associated with one potentialpower network failure while the customer endpoint 355 associated withnode “D” 350 has one network device without battery back-up 1302 that isindicated as offline, and one network device with battery back-up 1304that is indicated as online is associated with a separate power networkfailure. However, in this simplified example, it may also be likely thatthe network provider system concludes that there are not enoughreporting devices in this second grouping associated with node “D” 350to arrive at any reliable conclusion, whether it be a potential POIfailure or a potential power network failure. If, however, a greaternumber of total network devices were reporting, such as a number greaterthan a predetermined threshold or a percentage of devices withoutbattery back-up 1302 were indicated as inactive and network devices withbattery back-up 1304 were reporting as active, then the network providersystem may more reliably classify the service issues as a potentialpower network failure.

In another embodiment, analyzing the other side of the network topologyof FIG. 15, a network provider may identify and classify yet anotherpotential power network failure associated with the customer endpointsfrom nodes “E” and “C” 350. In this example, all of the network deviceswithout battery back-up 1302 are inactive, and all but one of thenetwork devices with battery back-up 1304 are active. Because at least apredetermined threshold of network devices with battery back-up 1304 areactive, the one device 1304 indicated as inactive may be ignored as anoutlier. Reasons for network devices with battery back-up 1304 that areinactive without a communications network failure may include, but arenot limited to, battery failure at the network device, a powered offnetwork device, a failed network device, and the like.

It is appreciated that the previous examples indicating potentialnetwork failures on communications network topologies are provided forillustrative purposes and are not intended to be limiting. As mentioned,any number of rules and logic may be applied that considers networkdevice activity status and whether the devices have battery back-upcapabilities.

FIG. 16 illustrates a flow diagram of an example method 1600 forclassifying a possible power network failure based on status informationreceived from communications network devices, according to oneembodiment, such as may be performed at least in part by the networkhealth modules of the network provider system 102 described withreference to FIGS. 1-2. Generally, as a communications device networkstatuses are analyzed one or more POIs may be identified an a similarmanner as described with reference to FIGS. 4-8C, and subsequentlyclassified as a possible power failure instead of a communicationsnetwork failure because of the activity statuses of network deviceshaving battery back-up.

The method 1600 may begin at block 1605, in which activity status datafrom multiple communications network devices is collected over thecommunications network. According to one embodiment, these networkdevices may be CPE devices or other devices installed or associated withcustomer endpoints. However, in other embodiments, activity status datamay also be collected from other network devices in addition to CPEdevices. As described with reference to FIG. 13, the multiple networkdevices may be network devices without battery back-up capabilities 1302and devices with battery back-up capabilities 1304. According to variousembodiments, the activity status information received may beperiodically transmitted by each of the network devices, polled from thenetwork devices by the network provider system, or be obtained fromother communications (e.g., content transmissions, on/off, etc.) betweenthe network provider system and each of the network devices. It isfurther appreciated that, in some embodiments, network devices that areinactive or offline may not actually report any data, and the networkprovider system is operable to assign an inactive status based on theunmet expectation of receiving an activity status from offline devices.It is appreciated that any number of means for determining networkdevice status may be utilized. The aforementioned examples are providedfor illustrative purposes only and are not intended to be limiting.

Following block 1605 is block 1610, in which it is determined for eachnetwork device analyzed whether the device has battery back-upcapabilities or not. According to one embodiment, network deviceinformation is stored by the network provider system and can bereferenced to determine which devices have battery back-up capabilities.In some embodiments, the status information received from each of thenetwork devices indicates whether the devices are operating on batteryback-up. For example, devices with battery back-up capabilities 1304 maycommunicate either an active status that indicates it is powered by theexternal power network or an active status that indicates it is poweredby its battery back-up.

At blocks 1615-1630, the total numbers of reporting devices as well asthe types and statuses of each device type are analyzed to facilitateidentifying a potential power network failure. For example, at blocks1615 and 1620, the numbers of devices with battery back-up 1304 and thenumbers of devices without battery back-up 1302 are counted,respectively. The numbers may be associated with each customer endpoint,with each network node, branch, or other network segment, or generallyaggregated as desired. By understanding the total numbers and associatedaddresses of each type of device, the network provider system candetermine the numbers of each type that are not reporting as well aslocate them on the communications network and identify theirdependencies on each other and their respective location and dependencyon the communications network. Thus, at blocks 1625 and 1630, thenumbers of devices with battery back-up 1304 and the numbers of deviceswithout battery back-up 1302 that are active are counted, respectively,according to one embodiment. In other embodiments, the numbers ofdevices 1304, 1302 that are not active may be counted, or both statusesmay be counted.

Following block 1630 is block 1635, in which the network provider systemanalyzes the activity status and device type counts determined in thepreceding operations to determine whether a potential power networkfailure may exist. As previously described with reference to FIGS.13-15, any number of rules or programming logic that depends uponcomparing the statuses of devices with battery back-up 1304 with thestatuses of devices without battery back-up 1302 may be implemented toclassify a service issue as a power network failure rather than acommunications network failure. In a generalized example, if many or allof the devices without battery back-up capabilities 1302 associated witha segment of the communications network are indicated to be inactive oroffline, but at least one (if not most or all) of the devices withbattery back-up capabilities 1304 connected to the same network segmentindicate they are active but powered by their battery back-up, then itmay be concluded that the communications network is operatingeffectively but the power network may possibly be experiencing afailure. According to various other embodiments, a number of otherdevice status combinations and applied thresholds may allow classifyinga potential power network failure, such as described by example withreference to FIGS. 13-15. Moreover, the thresholds and associatedprogramming logic may be configurable to allow altering or customizingthe required conditions to classify a potential power network failure.

The following example set of conditions may be utilized for analyzingthe activity status of devices on a communications network to classify apotential power failure, according to one embodiment. In thisembodiment, each location or segment of a communications network isanalyzed (which may generally be referred to as a device, such as a tapservicing one or more customer endpoints), such as at each node ornetwork device or at each customer endpoint.

POI type Thresholds/conditions Power Network Location/network segment(e.g., node, tap, or endpoint) Outage POI: has: all local devices withbattery back-up 1304 reporting as active; all local devices withoutbattery back-up 1302 are inactive; all devices without battery back-up1302 at the parent device are active or the parent device is an opticalnode; and at least a preset number of non-local, downstream deviceswithout battery back-up 1302 are inactive.

Referencing the above example, according to other embodiments, insteadof all local devices with battery back-up 1304 reporting as active, theprogramming logic may only require a predetermined number or percentage(e.g., if not all, most, etc.) to be active. Similarly, the programminglogic may require a predetermined number or percentage of local deviceswithout battery back-up 1302 to be inactive (e.g., if not all, most,etc.).

Accordingly, the above example logic allows identifying a specificlocation or area of the communications network that may indicate acorresponding area or portion of the power network that may be causingthe failure. More specifically, by traversing the communications networkupstream until a segment is identified where local devices withoutbattery back-up 1302 are inactive but parent devices without batteryback-up 1302 are reporting as active, the area or the location of apotential point of failure is identified.

According to various other embodiments, additional data can be analyzedin addition to that described above to improve the reliability of theconclusions reached regarding possible power network failures. Forexample, according to one embodiment, if more recently gathered data(e.g., from a real-time or near real-time CPE device status system)and/or different data sources indicate one or more devices withoutbattery back-up 1302 are active, then the network provider system mayre-classify the service event from a possible power network failure toanother type of failure (e.g., a communications network POI, etc.).Similarly, if other data sources corroborate or provide further evidenceof a power network failure, or that the problem is increasing or growingin magnitude or volume, then a severity level associated with anyresulting service ticket or technical response may be increased.

The preceding logic for classifying a power network failure and thepotential location of the failure is similar to that described in theabove embodiments for identifying a POI on a communications network, andcan incorporate some or all of the aspects described therefor, invarious embodiments.

Accordingly, the method 1600 may end after having classifiedcommunications network device inactivity as a potential power networkfailure. Upon identifying this failure, network provider system data canbe updated, service tickets created or updated, and/or a field serviceresponse initiated. Moreover, in many instances, because the cause ofservice interruptions may be due to a power network failure, theidentification of this potential power network failure by the networkprovider system may be transmitted to a responsible power supply companyor associated third-party for responding to the failure.

To further facilitate rapid and accurate identification classificationof possible power network failures, one embodiment may include locatingone or more components of a power network as a potential cause for apower network failure. Generally, in this embodiment, because thenetwork provider system is operable to identify devices likelyexperiencing a power failure, as described with reference to FIGS.12-16, correlating the addresses associated with those devices withlocations on a power company's power network grid topology will allowautomatically analyzing the power network to locate potential failedcomponents and/or network segments.

Accordingly, FIG. 17 illustrates a flow diagram of an example method1700 for locating a possible point of failure on a power network basedon device status information received over a communications network,according to one embodiment, such as may be performed at least in partby the network health modules of the network provider system 102described with reference to FIGS. 1-2.

The method 1700 may begin at block 1705, in which a possible powernetwork failure is classified according to the various embodimentsdescribed herein, such as described with reference to FIGS. 13-16.Following block 1705 is block 1710, in which the address information forat least a portion of the customer endpoints experiencing power failuresis obtained. Customer address information may be obtained from thenetwork provider system's customer records, CPE device records, and thelike.

Next, at block 1715, a power network grid topology is obtained. The gridtopology may be obtained from the responsible power supply company, fromthird parties, from public records, and the like. As one example,because the network provider system is able to rapidly identifypotential power network failures and locations without requiring theinstallation of additional monitoring or reporting hardware, powersupply companies may be willing to share the power grid information inexchange for status updates.

At block 1720, the address information, typically customer endpointaddresses, for the network devices experiencing possible power failuresis correlated by the network provider system to locations within thepower network grid topology, which also typically correspond to customerlocations. Accordingly, upon correlating the communications networkdevice addresses with address locations within the power network gridtopology, the network provider system can analyze the power network gridtopology to identify common power network components or segments thatare upstream and upon which the affected devices depend. Analyzing thenetwork may be done automatically according to techniques similar tothose described with reference to analyzing a communications network bywalking-up the network from downstream devices or locations to upstreamdevices or locations in the power network until a common power networkcomponent or network segment is identified that is immediately upstreamof the affected addresses.

Following block 1720 is block 1725, in which information associated withthe possible power network failure, the one or more power networkfailure locations (e.g., affected addresses, etc.), and/or the one ormore power network components identified at block 1720 as potentiallycontributing to the failure, may be provided to the power supply companyor any other system or entity associated therewith. In addition, in someembodiments, information related to the possible power network failuremay be communicated to the communications network provider system oranother system or entity associated therewith, such as for reporting orfor updating service tickets and/or field service technicians. It mayalso be desirable to share the information with one or more other thirdparties, such as regulatory agencies or reporting agencies. Informationmay be communicated to one or more of these systems or entitiesaccording to any known communication protocol, such as, but not limitedto, electronic communications over a network (e.g., the Internet, atelephone network, a private network, etc.) performed in real-time, innear real-time, or in batch mode, or periodic data transfer utilizing amemory device or devices transferred between the systems (e.g., disktransfers, tape transfers, hardcopy reports, etc.).

The method 1700 may therefore end after locating one or more powernetwork components or network segments that may be contributing to thecause of service issues classified as a possible power network failure.

FIG. 18 illustrates an example simplified power network grid topology1800, according to one embodiment. According to this embodiment, thepower network grid topology 1800 includes a power supply company 1202 orpower generation station or substation and the power network 1204extending electrical service to its customer endpoints 1802. Multiplepower network components 1804 are shown in communication with thenetwork 1204 at various locations. These power network components 1804may be, but are not limited to, substations, transformers, splitters,converters, meters, and the like. The customer endpoints 1802 arerepresented by a house graphic, but may be any residential or commercialendpoint receiving power over the power network 1204. According to thisillustrative example, a portion of the customer endpoints arerepresented as affected customer endpoints 1810 with an “X” indicatingdevice inactivity. These affected customer endpoints 1810 represent theaddresses of communications network components that were identified asinactive and potentially suffering from a power network failure. Asdescribed with reference to FIG. 17, communications network deviceaddresses are identified and correlated with endpoints 1810 on the powernetwork grid topology 1800 to locate the potential power network deviceor segment that may be causing the power network failure. In thisexample, the affected customer endpoints or addresses 1810 are the sameinactive network device components illustrated by FIG. 14.

Therefore, with reference to FIG. 18, once the affected addresses 1810that correlate with the inactive communications network devices areidentified on the power network grid topology 1800, the network providersystem may analyze the power network grid topology 1800 to identify oneor more power network components or segments immediately upstream on thepower network 1204 from the affected addresses 1810 that may be causingthe power network failure. In this example, the power network componentcircled and labeled 1820 would be identified by the network providersystem as potentially being the cause or point of interest on the powernetwork.

In addition to identifying one or more locations or components on thepower network that may be the cause of failure, in some embodiments, theaddress locations of one or more of the affected communications networkdevices may be overlaid or otherwise graphically indicated on a map ofthe power network grid topology, which may be in turn overlaid on ageographical map. This may be performed in the same or similar manner asrepresenting POIs on a communications network topology, as describedwith reference to FIG. 9, with the additional detail of the powernetwork grid topology graphically represented thereon.

Accordingly, in addition to identifying potential communications networkservice POIs, the previously described embodiments also provide forsystems and methods for classifying service issues experienced bynetwork devices on a communications network (e.g., POIs, etc.) as apossible power network failure instead of a communications networkfailure. A communications network provider system can advantageouslyanalyze devices in communication with its communication network todetermine whether a service issue results from a power network outageinstead of a communications network outage by analyzing whether devicescapable of battery back-up are communicating as active or online whileothers not capable of battery back-up are inactive. Once a power networkis identified as being the cause for failure, the communications networkprovider can respond accordingly, realizing that the communicationsnetwork is still operating as expected. By comparing the affectedcustomer addresses to a power network grid topology, a communicationsnetwork provider system can identify components or segments on the powernetwork that may be responsible for the power network outage.

Because a communications network provider already has an installed baseof devices that receive their primary power from a power network and arecapable of reporting device status independent of the power network, acommunications network is well-positioned to assess power networkfailures based on device status information received over itscommunications network. Whereas power companies are incurring massiveexpenses to install additional hardware to identify network statusesthat may not otherwise be required a communications network provider mayinstead utilize its existing hardware to identify power network outagesby more intelligently analyzing the device statuses and hardware types.

Various block and/or flow diagrams of systems, methods, apparatus,and/or computer program products according to example embodiments of theinvention are described above. It will be understood that one or moreblocks of the block diagrams and flow diagrams, and combinations ofblocks in the block diagrams and flow diagrams, respectively, can beimplemented by computer-executable program instructions. Likewise, someblocks of the block diagrams and flow diagrams may not necessarily needto be performed in the order presented, or may not necessarily need tobe performed at all, according to some embodiments of the invention.

These computer-executable program instructions may be loaded onto aspecial purpose computer or other particular machine, a processor, orother programmable data processing apparatus to produce a particularmachine, such that the instructions that execute on the computer,processor, or other programmable data processing apparatus create meansfor implementing one or more functions specified in the flow diagramblock or blocks. These computer program instructions may also be storedin a computer-readable memory that can direct a computer or otherprogrammable data processing apparatus to function in a particularmanner, such that the instructions stored in the computer-readablememory produce an article of manufacture including instruction meansthat implement one or more functions specified in the flow diagram blockor blocks. As an example, embodiments of the invention may provide for acomputer program product, comprising a computer usable medium having acomputer-readable program code or program instructions embodied therein,said computer-readable program code adapted to be executed to implementone or more functions specified in the flow diagram block or blocks. Thecomputer program instructions may also be loaded onto a computer orother programmable data processing apparatus to cause a series ofoperational elements or steps to be performed on the computer or otherprogrammable apparatus to produce a computer-implemented process suchthat the instructions that execute on the computer or other programmableapparatus provide elements or steps for implementing the functionsspecified in the flow diagram block or blocks.

Accordingly, blocks of the block diagrams and flow diagrams supportcombinations of means for performing the specified functions,combinations of elements or steps for performing the specified functionsand program instruction means for performing the specified functions. Itwill also be understood that each block of the block diagrams and flowdiagrams, and combinations of blocks in the block diagrams and flowdiagrams, can be implemented by special-purpose, hardware-based computersystems that perform the specified functions, elements or steps, orcombinations of special purpose hardware and computer instructions.

Many modifications and other embodiments of the invention set forthherein will be apparent having the benefit of the teachings presented inthe foregoing descriptions and the associated drawings. Therefore, it isto be understood that the invention is not to be limited to the specificembodiments disclosed and that modifications and other embodiments areintended to be included within the scope of the appended claims.Although specific terms are employed herein, they are used in a genericand descriptive sense only and not for purposes of limitation.

1. A method for locating a possible failure in a power network,comprising: identifying, by a network health analysis system comprisingone or more computers, a possible failure occurring on a power networkbased on activity statuses for a plurality of network devices incommunications with a communications network and adapted to receive atleast primary power from the power network; determining, by the networkhealth analysis system, location information for at least a portion ofthe plurality of network devices; analyzing, by the network healthanalysis system, the location information with a grid topology for thepower network; and identifying one or more potential failure locationson the power network based on the analysis.
 2. The method of claim 1,wherein the at least a portion of the plurality of network devicescomprises network devices not receiving power from the power network. 3.The method of claim 2, wherein analyzing the location information withthe grid topology for the power network comprises identifying one ormore power network components or power network segments that areproximate to the network devices not receiving power from the powernetwork.
 4. The method of claim 2, wherein analyzing the locationinformation with the grid topology for the power network comprisesidentifying one or more power network components or power networksegments that are located upstream on the power network from the networkdevices not receiving power from the power network.
 5. The method ofclaim 1, wherein analyzing the location information with the gridtopology for the power network comprises: determining customer addressesfor the at least a portion of the plurality of network devices; locatingthe customer addresses on the power network grid topology; andidentifying at least one power network component or power networksegment located on the power network upstream from the customeraddresses as the one or more potential failure locations.
 6. The methodof claim 5, wherein the at least a portion of the plurality of networkdevices comprises network devices adapted to receive power from thepower network but not receiving power from the power network.
 7. Themethod of claim 1, wherein analyzing the location information with thegrid topology for the power network comprises associating addresses forone or more of the plurality of network devices that are adapted toreceive power from the power network but not receiving power from thepower network with at least one of: (a) a power network grid topologymap; or (b) a geographical map representing at least a portion of anarea represented by the power network grid topology map.
 8. The methodof claim 1, wherein identifying the possible failure occurring on thepower network comprises determining that one or more network devices arenot powered by the power network but are powered by battery back-up andcommunicating over the communications network.
 9. The method of claim 1,wherein identifying the possible failure occurring on the power networkcomprises identifying: (a) at least one customer endpoint with at leastone network device without battery back-up capabilities and having aninactive status; and (b) at least one network device with batteryback-up capabilities having an active status.
 10. A system for locatinga possible failure in a power network, comprising: memory storingcomputer-executable instructions; and at least one processor incommunication with the memory and operable to execute thecomputer-executable instructions to: identify a possible failureoccurring on a power network based on activity statuses for a pluralityof network devices in communications with a communications network andadapted to receive at least primary power from the power network;determine location information for at least a portion of the pluralityof network devices; analyze the location information with a gridtopology for the power network; and identify one or more potentialfailure locations on the power network based on the analysis.
 12. Thesystem of claim 10, wherein the at least a portion of the plurality ofnetwork devices comprises network devices not receiving power from thepower network.
 13. The system of claim 12, wherein, when analyzing thelocation information with the grid topology for the power network, theprocessor is further operable to execute the computer-executableinstructions to identify one or more power network components or powernetwork segments that are proximate to the network devices not receivingpower from the power network.
 14. The system of claim 12, wherein, whenanalyzing the location information with the grid topology for the powernetwork, the processor is further operable to execute thecomputer-executable instructions to identify one or more power networkcomponents or power network segments that are located upstream on thepower network from the network devices not receiving power from thepower network.
 15. The system of claim 10, wherein, when analyzing thelocation information with the grid topology for the power network, theprocessor is further operable to execute the computer-executableinstructions to: determine customer addresses for the at least a portionof the plurality of network devices; locate the customer addresses onthe power network grid topology; and identify at least one power networkcomponent or power network segment located on the power network upstreamfrom the customer addresses as the one or more potential failurelocations.
 16. The system of claim 15, wherein the at least a portion ofthe plurality of network devices comprises network devices adapted toreceive power from the power network but not receiving power from thepower network.
 17. The system of claim 1, wherein, when identifying thepossible failure occurring on the power network, the processor isfurther operable to execute the computer-executable instructions toidentify: (a) at least one customer endpoint with at least one networkdevice without battery back-up capabilities and having an inactivestatus; and (b) at least one network device with battery back-upcapabilities having an active status.
 18. A method for locating apossible power network failure, comprising: determining, by a networkhealth analysis system comprising one or more computers, that a possiblepower network failure exists based on a first plurality of networkdevices without battery back-up capabilities having an inactive statuson a communications network and a second plurality of network deviceswith battery back-up capabilities having an active status on thecommunications network, wherein each of the first and the secondpluralities of network devices are adapted for receiving at leastprimary power from a power network; determining, by the network healthanalysis system, addresses for at least a portion of the first or thesecond pluralities of network devices; locating, by the network healthanalysis system, the addresses on a power network grid topology for thepower network; and identifying, by the network health analysis system,at least one power network component or power network segment as apossible power network failure location based on locations of the atleast a portion of the first or the second pluralities of networkdevices.
 19. The method of claim 18, wherein the addresses aredetermined based on communications network customer records.
 20. Themethod of claim 18, wherein the at least on power network component orpower network segment is located on the power network upstream from theaddresses for the at least a portion of the first or the secondpluralities of network devices.